World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
115
Citations
59796
World Ranking
615
National Ranking
256

Ken A. Dill publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Ken A. Dill sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 434 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Ken A. Dill D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Ken A. Dill sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 115 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the American Academy of Arts and Sciences
  • 2008 - Member of the National Academy of Sciences
  • 1996 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1991 - Fellow of American Physical Society (APS) Citation For innovative and imaginative use of statistical theory and computer simulation to elucidate the ways in which long chainmolecules fold into specific structures such as globular proteins

Overview

Ken A. Dill is affiliated with Stony Brook University in the United States. Their research focuses primarily on biochemistry, genetics, and molecular biology, with significant contributions in molecular biology, materials chemistry, statistical and nonlinear physics, cognitive neuroscience, as well as radiology, nuclear medicine, and imaging.

The scientist's work covers key topics including protein structure and dynamics, enzyme structure and function, RNA and protein synthesis mechanisms, origins and evolution of life, advanced thermodynamics and statistical mechanics, functional brain connectivity studies, and neural dynamics and brain function.

Selected recent papers authored or co-authored by Ken A. Dill include:

  • Diet modulates brain network stability, a biomarker for brain aging, in young adults (2020), Proceedings of the National Academy of Sciences
  • Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge (2021), Nature Methods
  • The Protein Folding Problem: The Role of Theory (2021), Journal of Molecular Biology
  • Protein storytelling through physics (2020), Science
  • The Maximum Caliber Variational Principle for Nonequilibria (2020), Annual Review of Physical Chemistry

Ken A. Dill frequently collaborates with several researchers, including Emiliano Brini, Corey Weistuch, Lilianne R. Mujica-Parodi, Alberto Pérez, and Jonathan Asher Pachter. These recurring partnerships contribute to multiple publications across a range of scientific journals.

The most common publication venues for their work include:

  • Proceedings of the National Academy of Sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Theory and Computation
  • arXiv (Cornell University)
  • Biophysical Journal

Ken A. Dill has received several distinctions during their career, including being named a Fellow of the American Academy of Arts and Sciences in 2014, a Member of the National Academy of Sciences in 2008, Fellow of the American Association for the Advancement of Science (AAAS) in 1996, and Fellow of the American Physical Society (APS) in 1991. The APS fellowship came with a citation recognizing innovative and imaginative use of statistical theory and computer simulation to elucidate the folding of long-chain molecules into specific structures such as globular proteins.

Best Publications

  • Dominant forces in protein folding

    Ken A. Dill

  • From Levinthal to pathways to funnels

    Ken A. Dill;Hue Sun Chan

  • Principles of protein folding--a perspective from simple exact models.

    Ken A. Dill;Sarina Bromberg;Kaizhi Yue;Klaus M. Fiebig

  • The Protein-Folding Problem, 50 Years On

    Ken A. Dill;Justin L. MacCallum

  • Theory for the folding and stability of globular proteins.

    Ken A. Dill

  • The Protein Folding Problem

    Ken A. Dill;S. Banu Ozkan;M. Scott Shell;Thomas R. Weikl

  • A lattice statistical mechanics model of the conformational and sequence spaces of proteins

    Kit Fun Lau;Ken A. Dill

  • Denatured States of Proteins

    Ken A. Dill;David Shortle

  • A View of the Hydrophobic Effect

    Noel T. Southall;Ken A. Dill;A. D. J. Haymet

  • How ions affect the structure of water.

    Barbara Hribar;Noel T. Southall;and Vojko Vlachy;Ken A. Dill

  • Molecular driving forces : statistical thermodynamics in biology, chemistry, physics, and nanoscience

    Ken A. Dill;Sarina Bromberg

  • Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics.

    John D. Chodera;Nina Singhal;Vijay S. Pande;Ken A. Dill

  • Binding of Small-Molecule Ligands to Proteins: “What You See” Is Not Always “What You Get”

    David L. Mobley;Ken A. Dill

  • Cooperativity in protein-folding kinetics.

    Ken A. Dill;Klaus M. Fiebig;Hue Sun Chan

  • Protein folding in the landscape perspective: Chevron plots and non‐arrhenius kinetics

    Hue Sun Chan;Ken A. Dill

  • Polymer principles and protein folding.

    Ken A. Dill

  • Sequence-specific polypeptoids: a diverse family of heteropolymers with stable secondary structure.

    Kent Kirshenbaum;Annelise E. Barron;Annelise E. Barron;Richard A. Goldsmith;Philippe Armand

  • Hydrogen bonding in globular proteins.

    Douglas F. Sticke;Leonard G. Presta;Ken A. Dill;George D. Rose

  • The molecular mechanism of retention in reversed-phase liquid chromatography

    John G. Dorsey;Ken A. Dill

  • Use of the Weighted Histogram Analysis Method for the Analysis of Simulated and Parallel Tempering Simulations.

    John D. Chodera;William C. Swope;Jed W. Pitera;Chaok Seok

  • Statistical Potentials Extracted From Protein Structures: How Accurate Are They?

    Paul D. Thomas;Ken A. Dill

  • Additivity principles in biochemistry.

    Ken A. Dill

Frequent Co-Authors

Hue Sun Chan
Hue Sun Chan University of Toronto
Alberto Perez
Alberto Perez University of Florida
Brian K. Shoichet
Brian K. Shoichet University of California, San Francisco
John D. Chodera
John D. Chodera Memorial Sloan Kettering Cancer Center
Ronald N. Zuckermann
Ronald N. Zuckermann Lawrence Berkeley National Laboratory
Kent Kirshenbaum
Kent Kirshenbaum New York University
Annelise E. Barron
Annelise E. Barron Stanford University
Paul D. Thomas
Paul D. Thomas University of Southern California
Ivet Bahar
Ivet Bahar University of Pittsburgh
Lilianne R. Mujica-Parodi
Lilianne R. Mujica-Parodi Stony Brook University

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